1.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.04
## LDevsum       1.01       1.02
## dh0           1.42       2.05
## dh1           1.13       1.36
## dl0           1.51       2.22
## dl1           1.06       1.16
## 
## Multivariate psrf
## 
## 1.61

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.00       1.00
## LDevsum       1.00       1.00
## dh0           1.84       3.05
## dh1           1.86       2.98
## dl0           1.28       1.71
## dl1           1.09       1.26
## 
## Multivariate psrf
## 
## 1.71

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results